Complex scene-based human body key point detection system and method

A technology of complex scenes and detection methods, which is applied in the direction of closed-circuit television systems, instruments, character and pattern recognition, etc., and can solve the problems of poor detection effect and large error of key points of the human body

Active Publication Date: 2018-10-26
CHINA UNIV OF PETROLEUM (EAST CHINA)
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a human body key point detection system and method based on complex scenes. Human key point detection in

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  • Complex scene-based human body key point detection system and method
  • Complex scene-based human body key point detection system and method
  • Complex scene-based human body key point detection system and method

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Embodiment Construction

[0073] The technical solutions of the present invention will be further described below in conjunction with the drawings and embodiments.

[0074] A human key point detection method based on complex scenes, such as figure 1 As shown, it is a flow chart of the human body key point detection method based on complex scenes of the present invention, such as figure 2 As shown, it is a schematic diagram of the human body key point detection method based on complex scenes of the present invention, and the method includes:

[0075] (S100) Input monitoring video information, perform preprocessing to obtain a single-frame static image and a multi-frame optical flow image;

[0076] (S200) Extract features from a single frame static image by convolution operation to obtain a feature map. In order to solve the impact of interfering targets on human target detection in complex scenes, a human target detection algorithm is used to compare the actual confidence of the feature map with the p...

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Abstract

The invention discloses a complex scene-based human body key point detection system and method. The method comprises the following steps of: inputting monitor video information to obtain a single-frame static map and a multi-frame optical flow graph; extracting features of the single-frame static map through a convolution operation so as to obtain a feature map, and in order to solve influences, on personnel target detection, of interference targets under complex scenes, judging a practical confidence coefficient and a preset confidence coefficient of the feature map by adoption of a personneltarget detection algorithm so as to obtain a discretized personnel target surrounding box; and carrying out optical flow overlapping on the multi-frame optical flow graph to form a two-dimensional vector field; extracting features in the discretized personnel target surrounding box to obtain a feature map, obtaining key points and association degrees of parts, generating a part confidence map foreach part of a human body by utilizing a predictor, and accurately detecting human body key points through the part confidence map and the two-dimensional vector field. The system and method are usedfor human body key point detection under complex scenes so as to realize accurate detection of personnel target key points.

Description

technical field [0001] The invention relates to a human body key point detection technology, in particular to a human body key point detection system and method based on complex scenes. Background technique [0002] At present, my country's "Skynet" project has begun to take shape. With the development of advanced technologies such as deep learning and intelligent video behavior analysis, how to effectively use surveillance video has become the focus of video data analysis. [0003] Computer video surveillance is the use of computer vision and image processing methods to perform target detection, target classification, target tracking, and behavior recognition of personnel targets in the surveillance scene on image sequences. Among them, human body behavior recognition is a research hotspot that has been widely concerned in recent years, and human body key point detection is the basis and core key technology of intelligent video behavior recognition. Through the analysis an...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06K9/46H04N7/18
CPCH04N7/18G06V40/10G06V10/40G06F18/2411
Inventor 宫法明马玉辉徐燕袁向兵宫文娟李昕李传涛丁洪金
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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